Yener
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6 years ago
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| @@ -123,6 +123,8 @@ print(keywords) | |||||
| 5. 文本摘要 | 5. 文本摘要 | ||||
| ```python3 | ```python3 | ||||
| import jiagu | |||||
| fin = open('input.txt', 'r') | fin = open('input.txt', 'r') | ||||
| text = fin.read() | text = fin.read() | ||||
| fin.close() | fin.close() | ||||
| @@ -140,6 +142,8 @@ jiagu.findword('input.txt', 'output.txt') # 根据文本，利用信息熵做新 | |||||
| 7. 情感分析 | 7. 情感分析 | ||||
| ```python3 | ```python3 | ||||
| import jiagu | |||||
| text = '很讨厌还是个懒鬼' | text = '很讨厌还是个懒鬼' | ||||
| sentiment = jiagu.sentiment(text) | sentiment = jiagu.sentiment(text) | ||||
| print(sentiment) | print(sentiment) | ||||
| @@ -147,6 +151,8 @@ print(sentiment) | |||||
| 8. 文本聚类 | 8. 文本聚类 | ||||
| ```python3 | ```python3 | ||||
| import jiagu | |||||
| docs = [ | docs = [ | ||||
| "百度深度学习中文情感分析工具Senta试用及在线测试", | "百度深度学习中文情感分析工具Senta试用及在线测试", | ||||
| "情感分析是自然语言处理里面一个热门话题", | "情感分析是自然语言处理里面一个热门话题", | ||||